7 citations · 17 across the 5 of their papers we have counts for
4 papers · 1 filter
Timbre latent space: exploration and creative aspects
Antoine Caillon, Adrien Bitton, Brice Gatinet +1
Recent studies show the ability of unsupervised models to learn invertible audio representations using Auto-Encoders. They enable high-quality sound synthesis but a limited control…
Assisted Sound Sample Generation with Musical Conditioning in Adversarial Auto-Encoders
Adrien Bitton, Philippe Esling, Antoine Caillon +1
Generative models have thrived in computer vision, enabling unprecedented image processes. Yet the results in audio remain less advanced. Our project targets real-time sound synthe…
Modulated Variational auto-Encoders for many-to-many musical timbre transfer
Adrien Bitton, Philippe Esling, Axel Chemla-Romeu-Santos
Generative models have been successfully applied to image style transfer and domain translation. However, there is still a wide gap in the quality of results when learning such tas…
Generative timbre spaces: regularizing variational auto-encoders with perceptual metrics
Philippe Esling, Axel Chemla--Romeu-Santos, Adrien Bitton
Timbre spaces have been used in music perception to study the perceptual relationships between instruments based on dissimilarity ratings. However, these spaces do not generalize t…